VP, Data & Analytics

14 hours, 57 minutes ago
Full-time
Executive
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Define and execute the company’s end-to-end data strategy across product, growth, operations, and internal decision-making.
  • Lead and scale the global data organization, including data platform, data engineering, analytics, and data science functions.
  • Establish the operating model for collaboration between data, product, engineering, finance, growth, and RevOps teams.
  • Set governance standards and ensure trusted, consistent business and product metrics across the company.
  • Translate complex data into clear strategic narratives for executive leadership and board stakeholders.
  • Build analytical frameworks and measurement systems that help product teams evaluate user behavior and product changes.
  • Identify opportunities for predictive modeling, experimentation, and AI-driven product capabilities.
  • Develop and mentor leaders across analytics engineering, product analytics, and data science.
  • Create a culture of analytical rigor, technical excellence, and data-driven thinking across the organization.

Requirements

  • 15+ years of experience in data, analytics, AI, or related fields, with a track record in technology-driven organizations.
  • 7+ years of experience leading and scaling data organizations in high-growth SaaS or technology companies.
  • Experience building and developing multi-disciplinary teams across analytics, data science, and data engineering.
  • Experience shaping modern data and analytics ecosystems that support product innovation, revenue insights, and operational decision-making.
  • Strong understanding of experimentation frameworks, statistical methods, and applied AI/ML systems.
  • Deep familiarity with SaaS growth metrics, product analytics, and customer lifecycle measurement.
  • Experience delivering AI-powered product capabilities and data-driven features at scale.
  • Demonstrated ability to partner with Product, Engineering, and executive leadership to influence strategy and outcomes.
  • Exceptional communication skills with the ability to present complex data clearly to executives and board stakeholders.
  • Experience supporting hyper-growth, rapid scaling, or IPO readiness is strongly preferred.

Benefits

  • Remote-first work environment.
  • Annual salary range of $331,000 to $462,000, including bonus pay.
  • Equal Opportunity Employer status with voluntary demographic disclosure.
  • AI-supported hiring process with human final decision-making.

Interested in this position?

Apply directly on the company website

Apply Now

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